Gotowa bibliografia na temat „Distant speech”
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Artykuły w czasopismach na temat "Distant speech"
Sorokin, V. N. "Distant Speech Detection". Acoustical Physics 69, nr 4 (sierpień 2023): 565–73. http://dx.doi.org/10.1134/s1063771023600250.
Pełny tekst źródłaAshwini, Jaya Kumar, i Ramaswamy Kumaraswamy. "Single-Channel Speech Enhancement Techniques for Distant Speech Recognition". Journal of Intelligent Systems 22, nr 2 (1.06.2013): 81–93. http://dx.doi.org/10.1515/jisys-2012-0051.
Pełny tekst źródłaGuerrero Flores, Cristina, Georgina Tryfou i Maurizio Omologo. "Cepstral distance based channel selection for distant speech recognition". Computer Speech & Language 47 (styczeń 2018): 314–32. http://dx.doi.org/10.1016/j.csl.2017.08.003.
Pełny tekst źródłaNematollahi, Mohammad Ali, i S. A. R. Al-Haddad. "Distant Speaker Recognition: An Overview". International Journal of Humanoid Robotics 13, nr 02 (25.05.2016): 1550032. http://dx.doi.org/10.1142/s0219843615500322.
Pełny tekst źródłaSwietojanski, Pawel, Arnab Ghoshal i Steve Renals. "Convolutional Neural Networks for Distant Speech Recognition". IEEE Signal Processing Letters 21, nr 9 (wrzesień 2014): 1120–24. http://dx.doi.org/10.1109/lsp.2014.2325781.
Pełny tekst źródłaPardede, Hilman F., Asri R. Yuliani i Rika Sustika. "Convolutional Neural Network and Feature Transformation for Distant Speech Recognition". International Journal of Electrical and Computer Engineering (IJECE) 8, nr 6 (1.12.2018): 5381. http://dx.doi.org/10.11591/ijece.v8i6.pp5381-5388.
Pełny tekst źródłaNAKANO, Alberto Yoshihiro, Seiichi NAKAGAWA i Kazumasa YAMAMOTO. "Distant Speech Recognition Using a Microphone Array Network". IEICE Transactions on Information and Systems E93-D, nr 9 (2010): 2451–62. http://dx.doi.org/10.1587/transinf.e93.d.2451.
Pełny tekst źródłaRavanelli, Mirco, i Maurizio Omologo. "Automatic context window composition for distant speech recognition". Speech Communication 101 (lipiec 2018): 34–44. http://dx.doi.org/10.1016/j.specom.2018.05.001.
Pełny tekst źródłaMatassoni, Marco, Maurizio Omologo, Diego Giuliani i Piergiorgio Svaizer. "Hidden Markov model training with contaminated speech material for distant-talking speech recognition". Computer Speech & Language 16, nr 2 (kwiecień 2002): 205–23. http://dx.doi.org/10.1006/csla.2002.0191.
Pełny tekst źródłaMustafaev, M. Sh, V. A. Vissarionov, E. M. Tarchokova i S. A. Dyshekova. "Basics of complex rehabilitation of patients with speech disorders after uranoplasty". Medical alphabet, nr 3 (12.06.2020): 40–42. http://dx.doi.org/10.33667/2078-5631-2020-3-40-42.
Pełny tekst źródłaRozprawy doktorskie na temat "Distant speech"
Ravanelli, Mirco. "Deep Learning for Distant Speech Recognition". Doctoral thesis, Università degli studi di Trento, 2017. https://hdl.handle.net/11572/368959.
Pełny tekst źródłaRavanelli, Mirco. "Deep Learning for Distant Speech Recognition". Doctoral thesis, University of Trento, 2017. http://eprints-phd.biblio.unitn.it/2693/1/PhD_thesis_Ravanelli_Mirco_archived.pdf.
Pełny tekst źródłaLiu, Yulan. "Distant speech recognition of natural spontaneous multi-party conversations". Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/17691/.
Pełny tekst źródłaMahdian, Toroghi Rahil [Verfasser], i Dietrich [Akademischer Betreuer] Klakow. "Blind speech separation in distant speech recognition front-end processing / Rahil Mahdian Toroghi ; Betreuer: Dietrich Klakow". Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2016. http://d-nb.info/1119802229/34.
Pełny tekst źródłaEldridge, Larry D. "A distant heritage : the growth of free speech in early America /". New York, NY [u.a.] : New York Univ. Press, 1994. http://www.gbv.de/dms/spk/sbb/recht/toc/277767857.pdf.
Pełny tekst źródłaTitus, Andrew Richard. "A study of adaptive enhancement methods for improved distant speech recognition". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119706.
Pełny tekst źródłaThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 65-68).
Automatic speech recognition systems trained on speech data recorded by microphones placed close to the speaker tend to perform poorly on speech recorded by microphones placed farther away from the speaker due to reverberation effects and background noise. I designed and implemented a variety of machine learning models to improve distant speech recognition performance by adaptively enhancing incoming speech to appear as if it was recorded in a close-talking environment, regardless of whether it was originally recorded in a close-talking or distant environment. These were evaluated by passing the enhanced speech to acoustic models trained on only close-talking speech and comparing error rates to those achieved without speech enhancement. Experiments conducted on the AMI, TIMIT and TED-LIUM datasets indicate that decreases in error rate on distant speech of up to 33% relative can be achieved by these with only minor increases (1% relative) on clean speech.
by Andrew Richard Titus.
M. Eng.
Guerrero, Flores Cristina Maritza. "Information Fusion Approaches for Distant Speech Recognition in a Multi-microphone Setting". Doctoral thesis, Università degli studi di Trento, 2016. https://hdl.handle.net/11572/368955.
Pełny tekst źródłaGuerrero, Flores Cristina Maritza. "Information Fusion Approaches for Distant Speech Recognition in a Multi-microphone Setting". Doctoral thesis, University of Trento, 2016. http://eprints-phd.biblio.unitn.it/1853/1/160830_cguerrero_phd-thesis.pdf.
Pełny tekst źródłaSwietojanski, Paweł. "Learning representations for speech recognition using artificial neural networks". Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22835.
Pełny tekst źródłaKITAOKA, Norihide, Seiichi NAKAGAWA i Longbiao WANG. "Robust Speech Recognition by Combining Short-Term and Long-Term Spectrum Based Position-Dependent CMN with Conventional CMN". Institute of Electronics, Information and Communication Engineers, 2008. http://hdl.handle.net/2237/14966.
Pełny tekst źródłaKsiążki na temat "Distant speech"
Woelfel, Matthias. Distant speech recognition. Chichester, West Sussex, U.K: Wiley, 2009.
Znajdź pełny tekst źródłaEldridge, Larry D. A distant heritage: The growth of free speech in early America. New York: New York University Press, 1994.
Znajdź pełny tekst źródłaSmoothey, Marion. Time, distance, and speed. New York: Marshall Cavendish, 1993.
Znajdź pełny tekst źródłaSmoothey, Marion. Time, distance, and speed. New York: Marshall Cavendish, 1993.
Znajdź pełny tekst źródłaHumphreys, D. Russell. Starlight and time: Solving the puzzle of distant starlight in a young universe. Green Forest, AR: Master Books, 1994.
Znajdź pełny tekst źródłaSpeed, Charles S. Call of a distant drum: The Speeds, the Crittendons, and the New Land. Arlington, VA (2000 South Eads St., Arlington 22202): C.S. Speed, 1986.
Znajdź pełny tekst źródłaSubhasis, Chaudhuri, i SpringerLink (Online service), red. Video Analysis and Repackaging for Distance Education. New York, NY: Springer New York, 2012.
Znajdź pełny tekst źródłaHunt, M. J. Distance measures for speech recognition =: Les distances spectrales pour la reconnaissance de la parole. Ottawa: National Research Council Canada, 1989.
Znajdź pełny tekst źródłaBrunner-Jass, Renata. Field of play: Measuring distance, rate, and time. Chicago, IL: Norwood House Press, 2013.
Znajdź pełny tekst źródłaDIMED 86 (1986 Algarve, Portugal). DIMED 86: Discurso dos media e ensino a distância = discours des médias et enseignement à distance = media speech and distance teaching : actas do colóquio, Algarve 10-15 março de 1986. Lisboa: Ministério da Educação e Cultura, Instituto Português de Ensino a Distância, 1986.
Znajdź pełny tekst źródłaCzęści książek na temat "Distant speech"
Kendall, Henry W. "Speech to the United Nations Intergovernmental Negotiating Committee". W A Distant Light, 189–91. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4419-8507-1_17.
Pełny tekst źródłaZając, Marcin, i Adam Przepiórkowski. "Distant Supervision Learning of DBPedia Relations". W Text, Speech, and Dialogue, 193–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40585-3_25.
Pełny tekst źródłaHaderlein, Tino, Elmar Nöth, Wolfgang Herbordt, Walter Kellermann i Heinrich Niemann. "Using Artificially Reverberated Training Data in Distant-Talking ASR". W Text, Speech and Dialogue, 226–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551874_29.
Pełny tekst źródłaJi, Mikyong, Sungtak Kim i Hoirin Kim. "Composite Decision by Bayesian Inference in Distant-Talking Speech Recognition". W Text, Speech and Dialogue, 463–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11846406_58.
Pełny tekst źródłaRadeck-Arneth, Stephan, Benjamin Milde, Arvid Lange, Evandro Gouvêa, Stefan Radomski, Max Mühlhäuser i Chris Biemann. "Open Source German Distant Speech Recognition: Corpus and Acoustic Model". W Text, Speech, and Dialogue, 480–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24033-6_54.
Pełny tekst źródłaVacher, Michel, Benjamin Lecouteux i François Portet. "On Distant Speech Recognition for Home Automation". W Smart Health, 161–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16226-3_7.
Pełny tekst źródłaGolubev, Anton, i Natalia Loukachevitch. "Use of Augmentation and Distant Supervision for Sentiment Analysis in Russian". W Text, Speech, and Dialogue, 184–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83527-9_16.
Pełny tekst źródłaRenals, Steve, i Pawel Swietojanski. "Distant Speech Recognition Experiments Using the AMI Corpus". W New Era for Robust Speech Recognition, 355–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64680-0_16.
Pełny tekst źródłaAstapov, Sergei, Gleb Svirskiy, Aleksandr Lavrentyev, Tatyana Prisyach, Dmitriy Popov, Dmitriy Ubskiy i Vladimir Kabarov. "Acoustic Event Mixing to Multichannel AMI Data for Distant Speech Recognition and Acoustic Event Classification Benchmarking". W Speech and Computer, 31–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26061-3_4.
Pełny tekst źródłaAgarwal, Nidhi, Amita Jain, Ayush Gupta i Devendra Kumar Tayal. "Applying XGBoost Machine Learning Model to Succor Astronomers Detect Exoplanets in Distant Galaxies". W Artificial Intelligence and Speech Technology, 385–404. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95711-7_33.
Pełny tekst źródłaStreszczenia konferencji na temat "Distant speech"
Lin, Q., C. Che, D. S. Yak, L. Jin, B. deVries, J. Pearson i J. Flanagan. "Robust distant-talking speech recognition". W 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings. IEEE, 1996. http://dx.doi.org/10.1109/icassp.1996.540280.
Pełny tekst źródłaGuerrero, Cristina, Georgina Tryfou i Maurizio Omologo. "Channel Selection for Distant Speech Recognition Exploiting Cepstral Distance". W Interspeech 2016. ISCA, 2016. http://dx.doi.org/10.21437/interspeech.2016-865.
Pełny tekst źródłaThotappa, Deepak, i S. R. Mahadeva Prasanna. "Analysis of Foreground and Distant speech". W TENCON 2015 - 2015 IEEE Region 10 Conference. IEEE, 2015. http://dx.doi.org/10.1109/tencon.2015.7372808.
Pełny tekst źródłaJin, Qin, Runxin Li, Qian Yang, Kornel Laskowski i Tanja Schultz. "Speaker identification with distant microphone speech". W 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495590.
Pełny tekst źródłaMorales-Cordovilla, Juan A., Hannes Pessentheiner, Martin Hagmüller i Gernot Kubin. "Room localization for distant speech recognition". W Interspeech 2014. ISCA: ISCA, 2014. http://dx.doi.org/10.21437/interspeech.2014-238.
Pełny tekst źródłaMcDonough, John, i Matthias Wolfel. "Distant Speech Recognition: Bridging the Gaps". W 2008 Hands-Free Speech Communication and Microphone Arrays (HSCMA 2008). IEEE, 2008. http://dx.doi.org/10.1109/hscma.2008.4538699.
Pełny tekst źródłaRenals, Steve, i Pawel Swietojanski. "Neural networks for distant speech recognition". W 2014 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA). IEEE, 2014. http://dx.doi.org/10.1109/hscma.2014.6843274.
Pełny tekst źródłaZhao, Tuo, Yunxin Zhao, Shaojun Wang i Mei Han. "UNet++-Based Multi-Channel Speech Dereverberation and Distant Speech Recognition". W 2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP). IEEE, 2021. http://dx.doi.org/10.1109/iscslp49672.2021.9362064.
Pełny tekst źródłaRavanelli, Mirco, i Maurizio Omologo. "Contaminated speech training methods for robust DNN-HMM distant speech recognition". W Interspeech 2015. ISCA: ISCA, 2015. http://dx.doi.org/10.21437/interspeech.2015-251.
Pełny tekst źródłaZwyssig, Erich, Mike Lincoln i Steve Renals. "A digital microphone array for distant speech recognition". W 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495040.
Pełny tekst źródłaRaporty organizacyjne na temat "Distant speech"
Zilberman, Mark. Methods to Test the “Dimming Effect” Produced by a Decrease in the Number of Photons Received from Receding Light Sources. Intellectual Archive, czerwiec 2021. http://dx.doi.org/10.32370/ia_2021_06_22.
Pełny tekst źródłaStastny, Petr, Robert Roczniok, Daniel Cleather, Martin Musalek, Dominik Novak i Michal Vagner. Straight speed and acceleration optimal distances and reference values. A systematic review, and meta-analyses. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, maj 2022. http://dx.doi.org/10.37766/inplasy2022.5.0010.
Pełny tekst źródłaHarris i Vaze. PR-185-0351-R05 Welding for Small to Medium Diameter Gas Pipelines - Real-Time Quality Monitoring. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), kwiecień 2006. http://dx.doi.org/10.55274/r0011071.
Pełny tekst źródłaBernau, Jeremiah. The Changing Bonneville Salt Flats. Utah Geological Survey, styczeń 2024. http://dx.doi.org/10.34191/pi-106.
Pełny tekst źródłaNascimento, Lucas, Augusto Boening, Abílio Galli, Janaine Polese i Louise Ada. Mechanically-assisted walking training for improving walking speed, walking distance and social participation after stroke: a systematic review protocol. INPLASY - International Platform of Registered Systematic Review Protocols, marzec 2020. http://dx.doi.org/10.37766/inplasy2020.3.0007.
Pełny tekst źródłaRahai, Hamid, i Assma Begum. Numerical Investigations of Transient Wind Shear from Passing Vehicles Near a Road Structure (Part I: Unsteady Reynolds-Averaged Navier-Stokes Simulations). Mineta Transportation Institute, styczeń 2021. http://dx.doi.org/10.31979/mti.2020.1933.
Pełny tekst źródłaHeron, Neil, i Sam McCormick. The Physical Demands of Wheelchair Tennis - a Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, marzec 2023. http://dx.doi.org/10.37766/inplasy2023.3.0060.
Pełny tekst źródłaIdris, Iffat. Preventing Atrocities in Conflict and Non-conflict Settings. Institute of Development Studies, sierpień 2022. http://dx.doi.org/10.19088/k4d.2022.137.
Pełny tekst źródłaKubica, Stefan, Tobias Peuschke-Bischof, Belinda Müller i Robin Avci. Fahrmanöver für Geradeausfahrt. Technische Hochschule Wildau, 2019. http://dx.doi.org/10.15771/1264.
Pełny tekst źródłaTao, Yang, Amos Mizrach, Victor Alchanatis, Nachshon Shamir i Tom Porter. Automated imaging broiler chicksexing for gender-specific and efficient production. United States Department of Agriculture, grudzień 2014. http://dx.doi.org/10.32747/2014.7594391.bard.
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